I will fine tune bert or any huggingface llm for your nlp classification task

Need a custom NLP model trained on your data? I will fine-tune any Hugging Face transformer model for your specific classification or detection task and deliver clean, production-ready code.

What I can build for you: Text classification (sentiment, intent, topic, category) Toxic or harmful content detection Named entity recognition (NER) Question answering and semantic similarity Custom domain-specific fine-tuning on your dataset

My stack: Hugging Face Transformers · PyTorch · TensorFlow · Python · Google Colab / Local GPU

Real work I have done: I fine-tuned BERT for toxic content detection on the Quora dataset using Hugging Face and TensorFlow, achieving strong classification performance with detailed evaluation metrics. I work at AI4Bharat, IIT Madras, and hold the Machine Learning Specialization from Stanford and DeepLearning.AI.

What you will receive: Trained model + weights Clean, commented Python code and evaluation report (accuracy, F1, confusion matrix) Instructions for running and deploying.

Why work with me: 3+ years of hands-on NLP in a production research environment. Message me with your dataset and use case before ordering I will confirm exactly what I can deliver.